ServiceNow Research

Conference on Neural Information Processing Systems (NeurIPS), 2019


Date
Dec 8, 2019 — Dec 14, 2019
Event
2019 NeurIPS
Website
https://nips.cc/Conferences/2019
Submission Deadline
May 23, 2019
Final Decision Date
Sep 4, 2019
Location
Vancouver, Canada

Publications

Adaptive Cross-Modal Few-shot Learning. Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

PDF Cite Code

Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates. Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

PDF Cite

Learning Reward Machines for Partially Observable Reinforcement Learning. Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Valenzano, Margarita P. Castro, Sheila A. McIlraith. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

PDF Cite

Neural Multisensory Scene Inference. Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher Pal, Sungjin Ahn. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

PDF Cite Code

On Adversarial Mixup Resynthesis. Christopher Beckham, Sina Honari, Vikas Verma, Alex Lamb, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio, Christopher Pal. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

PDF Cite Code

Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates. Sharan Vaswani, Aaron Mishkin, Issam H. Laradji, Mark Schmidt, Gauthier Gidel, Simon Lacoste-Julien. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

PDF Cite

Real-Time Reinforcement Learning. Simon Ramstedt, Christopher Pal. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

PDF Cite Code

Reducing Noise in GAN Training with Variance Reduced Extragradient. Tatjana Chavdarova, Gauthier Gidel, François Fleuret, Simon Lacoste-Julien. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

PDF Cite Code

Adversarial Functionality-Preserving Training in the Malware Domain. Ousmane Amadou Dia. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

Cite

CLOSURE: Assessing Systematic Generalization of CLEVR models. Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio, Aaron Courville. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

PDF Cite Code

Deep Complex Separators. Christopher Pal, Negar Rostamzadeh, Ying Zhang, Olexa Bilaniuk, Chiheb Trabelsi. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

Cite

Neocortical plasticity: an unsupervised cake but no free lunch. Eilif Muller, Philippe Beaudoin. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

PDF Cite

Objects of violence: synthetic data for practical ML in human rights investigations. Lachlan Kermode, Jan Freyberg, Alican Akturk, Robert Trafford, Denis Kocetkov, Rafael Pardinas, Eyal Weizman, Julien Cornebise. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

PDF Cite

Optimal PAC-Bayes bounds require distribution- and data-dependent priors. Kyle Hsu, Waseem Gharbieh, Daniel M. Roy, Gintare Karolina Dziugaite. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

Cite

Retrieving Signals in the Frequency Domain with Deep Complex Extractors. Chiheb Trabelsi, Olexa Bilaniuk, Ousmane Amadou Dia, Ying Zhang, Mirco Ravanelli, Jonathan Binas, Negar Rostamzadeh, Christopher Pal. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

PDF Cite Code

Tackling Climate Change with Machine Learning. David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio, Evan D. Sherwin. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

PDF Cite

Towards generalization guarantees for SGD: Data-dependent PAC-Bayes priors. Gabriel Arpino, Daniel M. Roy, Gintare Karolina Dziugaite. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

Cite

Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation. Lironne Kurzman, David Vazquez, Issam H. Laradji. At Women in Machine Learning (WiML),  2019.

PDF Cite Code

Knowledge Hypergraphs: Prediction Beyond Binary Relations. Bahare Fatemi, Perouz Taslakian, David Vazquez, David Poole. At Women in Machine Learning (WiML),  2019.

PDF Cite Code

Linear Mode Connectivity and the Lottery Ticket Hypothesis. Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael Carbin. At Women in Machine Learning (WiML),  2019.

PDF Cite

Optimal PAC-Bayes bounds require distribution- and data-dependent priors. Kyle Hsu, Waseem Gharbieh, Daniel M. Roy, Gintare Karolina Dziugaite. At Women in Machine Learning (WiML),  2019.

Cite